Kai Hua

570 citations
35 papers · 465 · h-index 11

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 8
    • Molecular Biology Techniques and Applications 5
    • Epigenetics and DNA Methylation 2
    • Biosensors and Analytical Detection 8

Kai Hua

33 papers receiving 458 citations

Peers

Kai Hua
Comparison fields: 5 of 79
  • Biomedical Engineering 168
  • Biomaterials 47
  • Inorganic Chemistry 49
  • Organic Chemistry 90
  • Molecular Biology 179
Replace Jessica M. O’Brien with:
Jessica M. O’Brien Ireland
Lingjie He China
Julie A. Watts United Kingdom
Oriol Penon Spain
Nhung Thi Tran Vietnam
Harender S. Bisht India
Benjamin Ziem Germany
Mohammad‐Amin Moradi Netherlands
Jiabao Xu China
Natalie Mendez United States
Kai Hua relative to Jessica M. O’Brien Ireland Jessica M. O’Brien's profile →
Citations per field
00.5×1.5×2.5×
Jessica M. O’Brien · 1×
Citations per year

Countries citing papers authored by Kai Hua

Since Specialization
Citations

This map shows the geographic impact of Kai Hua's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kai Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hua more than expected).

Fields of papers citing papers by Kai Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Hua. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai Hua. The network helps show where Kai Hua may publish in the future.

Co-authors

The 25 scholars most cited alongside Kai Hua, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Hua Line = papers co-authored together Kai Hua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017104
2 201964
3 201849
4 201849
5 201020
6 202019
7 201918
8 202116
9 202013
10 201913
11 202010
12 201810
13 20218
14 20197
15 20237
16 20207
17 20216
18 20256
19 20236
20 20215

About Kai Hua

Kai Hua is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Biomaterials and Materials Chemistry, having authored 35 papers that have together received 465 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (8 papers), Advanced biosensing and bioanalysis techniques (8 papers), Supramolecular Chemistry and Complexes (5 papers), N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (5 papers), Molecular Biology Techniques and Applications (5 papers), Nanoparticle-Based Drug Delivery (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biomedical Engineering (168 citations), Biomaterials (47 citations), Inorganic Chemistry (49 citations), Organic Chemistry (90 citations) and Molecular Biology (179 citations). Kai Hua has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yali Cui, Chao Zhang, Xiaonan Liu, Ying‐Feng Han, Ting Ma, Yao‐Yu Wang, Mingwei Chen, Qian Liu, Qinlu Zhang and Xiaomei Zhang. Their work appears in journals such as The Analyst, Analytical Biochemistry, Sensors and Actuators B Chemical, Applied Surface Science and Biosensors and Bioelectronics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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